Growth Generalist (Lifecycle)

About Brilliant
Brilliant is making a world of great problem solvers. We focus on adults learning quantitative skills – especially in math, data, and CS/AI – and deliver a best-in-class interactive learning experience across web and apps. Our courses teach you what you need to know, while skipping the stuff you don’t – so expect more about solving equations, statistical analysis, logical deduction, neural networks, and generative AI, and less about abstract theorems and integrating complicated trig functions. 
We serve hundreds of thousands of paid subscribers, and we’re hoping you might be the right person to contribute to accelerating our footprint to millions of customers (and changed lives). In addition to what’s below, you can see all open roles and learn more about our team culture on our careers page.
We have always prioritized building a healthy business as the backbone of achieving our mission. We are default alive (will be profitable before needing to raise), have never had layoffs, are growing new customers at an exciting pace (high double-digits year-over-year). Our investors are top-tier + mission aligned, and we’ve kept our valuations tethered to reality – we aren’t playing “catch up” like many others.
In our day-to-day, we value adventure, excellence, generosity, and candor. We are optimists in the face of uncertainty, we take pride in our work, we go the extra mile for each other, and we tell it like it is (the good and the bad). We’re all here to do the best work of our lives together, and have a lot of fun along the way. 
We believe that real-time collaboration and human connection are necessary ingredients in building a high-velocity, creatively-oriented consumer product. We maintain core hours (10am - 3pm Pacific) where everyone is online, regardless of timezone. Over half of us are located near our hubs in SF and NYC, and folks outside of those cities travel to attend team offsites once-per-quarter.
About the role
As a Growth Generalist for lifecycle, you will play a crucial role in driving rapid experimentation and managing our lifecycle initiatives (email, push notifications and other re-engagement mechanisms) to enhance key user reengagement metrics. You will own the lifecycle experimentation process end-to-end, from ideation to reporting the results of experiments. This includes managing and mastering our customer communication platform, Braze, to ensure smooth deployment and troubleshooting of various campaigns.
You will collaborate closely with senior Product Managers, Engineers, Data Scientists and our Creative team to scale up successful experiments. This is a high-growth role; other successful people in this role have gone on to be in leadership positions or product managers.

Specifically, you'll:

• Lead weekly rapid experimentation cycles in lifecycle (running multiple experiments at once) and effectively report the outcomes.
• Focus on key re-engagement metrics and measure your impact by tracking the direct effects of your changes.
• Collaborate with the Product, Engineering, and Creative teams on larger scale experiments, developing entirely new messaging campaigns.
• Get hands on with our lifecycle platform - Braze, ensuring swift execution of experiments and trouble shooting any issues that arise.
• Serve as the go-to expert for the inner workings of our lifecycle systems in Braze, diagnosing and addressing problems.

You:

• Are a self started with a growth mindset.
• Are a critical thinker with ability to think in a logical/programatic way.
• Have familiarity with customer communication platforms like Braze, Customer.io, or Iterable (and if not, you’re willing to learn)
• Are motivated by fast feedback loops measured through experimental results.
• Are highly organized and disciplined, capable of managing multiple experiments and requests simultaneously.
• Have excellent communication skills and do not shy away from resolving your own problems by building relationships across our multi-disciplinary teams.
• Enjoy putting on your detective hat and diving deep into the logic built in Braze to debug issues.
• Industry experience in lifecycle marketing and user reengagement is nice to have, but not necessary
• Are looking to break into the tech industry by working in a fast paced environment, in a role with high growth potential

Compensation and Benefits
We use a systematic compensation framework: salary scales are set each year for each job vertical, managers level folks on their team, and those levels are mapped directly to our compensation scales. A location-based adjustment is applied outside of SF and NYC (typically 5-10%) - feel free to ask us about your location!
Given the systematic approach, we